Advanced Multi-Agent-System for Security applications. Dr. Reuven Granot Faculty of Science and Scientific Education University of Haifa, Israel rgranot@smile.net.il. Robotic activities at University of Haifa.

Copyright Complaint Adult Content Flag as Inappropriate

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

The new Faculty of Science and Scientific Education’s mission is focused toward interdisciplinary research and education.

The robotic activities have their background in the initiative of the Research & Technology Unit at MAFAT Israel MoD were I served in the last decade as Scientific Deputy.

We have concentrated interest and research inMulti – Agent Supervised Autonomous Systems (Tele robotics), while continuing steady support of the Manual Remote operations in different combat environments.

continuous control: the HO is responsible to continuously supply the robot all the needed control commands.

a coherent cooperation between man and machine, which is known to be a hard task.

Supervision and intervention by a human would provide the advantages of on-line fault correction and debugging, and would relax the amount of structure needed in the environment, since a human supervisor could anticipate and account for many unexpected situations.

An agent is a computer system capable of autonomous action in some environments.

A general way in which the term agent is used is to denote a hardware or software-based computer system that enjoys the following properties:

autonomy: agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state;

social ability: agents interact with other agents (and possibly humans) via some kind of agent-communication language;

reactivity: agents perceive their environment, (which may be the physical world, a user via a graphical user interface, or a collection of other agents), and respond in a timely fashion to changes that occur in it;

pro-activeness: agents do not simply act in response to their environment; they are able to exhibit goal-directed behavior by taking the initiative.